Applied AI ML Senior Associate
at J.P. Morgan
Posted a month ago
No clicks
- Compensation
- Not specified
- City
- Mumbai
- Country
- India
Currency: Not specified
Join JPMorgan Chase's Asset & Wealth Management team to design, develop, and maintain secure, scalable data pipelines and ML-driven applications, including sophisticated LLM-based solutions. You will collaborate with data science, cybersecurity, DevOps, and other tech teams to deploy cloud-native architectures and production-grade code. The role requires hands-on experience with Azure and AWS, Kubernetes, Terraform, and performance tuning for microservices and real-time applications. You will drive adoption of cutting-edge AI techniques, fine-tuning LLMs, and prompt optimization in a regulated financial environment.
Location: Mumbai, Maharashtra, India
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
Job responsibilities
- Involves in building and operating highly sophisticated LLM driven applications.
- Partners directly with other technology teams on LLM projects to advise and assist as needed.
- Collaborates with Data Science, Cybersecurity to deliver state of the art ML products.
- Collaborates with Devops engineers to plan and deploy data storage and processing systems,
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Develops secure high-quality production code, and reviews and debugs code written by others.
- Stays abreast of the latest advancements in AI technologies, and drive their integration into our operations.
Required qualifications, capabilities, and skills
- Formal training or certification on data science engineering concepts and 3+ years applied experience
- Advanced python programming skills. Proven experience in building and operating scalable ML-driven products.
- Azure and AWS Certifications ( Architect, Big Data, AI/ML ) . Hands on experience in Azure and AWS.
- Proficiency with cloud technologies like Kubernetes, Airflow.
- Experience working in a highly regulated environment.
- Proficient in all aspects of the Software Development Life Cycle.
- Terraform, IaaC experience.
- Experience with design & delivery of large scale cloud-native architectures.
- Experience with microservices performance tuning, performance optimization, real-time applications.
- Experience with financial data and data science.
- Experience in developing AI solutions using agentic frameworks.
- Experience fine-tuning LLMs with advanced techniques to enhance performance.
- Experience with prompt optimisation to improve the effectiveness of AI applications.
- Demonstrated ability to design and implement robust AI application architectures.
